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🔥 Firebase-based Event Logging System for NyanProxy
===================================================
This module provides a comprehensive event logging system using Firebase Realtime Database
for persistent, scalable logging across deployments.
🔐 PRIVACY NOTICE:
- This logger only tracks USAGE METRICS and ANALYTICS
- NO PROMPT CONTENT or RESPONSE CONTENT is ever logged
- Only metadata like token counts, timestamps, and model usage is stored
- User privacy is protected while maintaining usage tracking for quotas and billing
"""
import json
import threading
import time
from datetime import datetime, timedelta
from typing import Dict, List, Optional, Any, Union
from dataclasses import dataclass, asdict
from enum import Enum
import uuid
import hashlib
try:
import firebase_admin
from firebase_admin import credentials, db
FIREBASE_AVAILABLE = True
except ImportError:
FIREBASE_AVAILABLE = False
print("Warning: Firebase not available. Logging will be disabled.")
@dataclass
class Event:
"""Simple event structure for basic logging"""
token: str
event_type: str
payload: Dict[str, Any]
timestamp: datetime = None
def __post_init__(self):
if self.timestamp is None:
self.timestamp = datetime.now()
class EventType(Enum):
"""Event types for structured logging"""
CHAT_COMPLETION = "chat_completion"
STREAMING_REQUEST = "streaming_request"
MODEL_LIST_REQUEST = "model_list_request"
LOGIN_SUCCESS = "login_success"
LOGIN_FAILURE = "login_failure"
RATE_LIMIT_HIT = "rate_limit_hit"
API_ERROR = "api_error"
HEALTH_CHECK = "health_check"
class FirebaseEventLogger:
"""
Firebase-based event logger for persistent logging
"""
def __init__(self, firebase_path: str = "events"):
self.firebase_path = firebase_path
self.lock = threading.Lock()
self.firebase_available = FIREBASE_AVAILABLE
if not self.firebase_available:
print("Warning: Firebase not available. Events will not be logged.")
return
try:
# Test Firebase connection
self.db_ref = db.reference(self.firebase_path)
self.db_ref.child("test").set({"initialized": True, "timestamp": datetime.now().isoformat()})
# Firebase logging initialized
except Exception as e:
print(f"Warning: Firebase logging failed to initialize: {e}")
self.firebase_available = False
def log_event(self, event: Event) -> bool:
"""Log an event to Firebase"""
if not self.firebase_available:
return False
try:
with self.lock:
event_data = {
"token": event.token,
"event_type": event.event_type,
"payload": event.payload,
"timestamp": event.timestamp.isoformat() if event.timestamp else datetime.now().isoformat()
}
# Use timestamp-based key for ordering
timestamp_key = int(time.time() * 1000) # milliseconds
event_key = f"{timestamp_key}_{uuid.uuid4().hex[:8]}"
self.db_ref.child(event_key).set(event_data)
return True
except Exception as e:
print(f"Failed to log event to Firebase: {e}")
return False
def log_chat_completion(self, token: str, model_family: str, input_tokens: int,
output_tokens: int, ip_hash: str = "", success: bool = True) -> bool:
"""Log a chat completion event"""
event = Event(
token=token,
event_type="chat_completion",
payload={
"model_family": model_family,
"input_tokens": input_tokens,
"output_tokens": output_tokens,
"total_tokens": input_tokens + output_tokens,
"ip_hash": ip_hash,
"success": success
}
)
return self.log_event(event)
def log_api_request(self, endpoint: str, method: str, status_code: int,
response_time: float, token: str = None) -> bool:
"""Log an API request event"""
event = Event(
token=token or "anonymous",
event_type="api_request",
payload={
"endpoint": endpoint,
"method": method,
"status_code": status_code,
"response_time": response_time,
"success": status_code < 400
}
)
return self.log_event(event)
def get_user_stats(self, token: str, days: int = 30) -> Dict[str, Any]:
"""Get usage statistics for a user"""
if not self.firebase_available:
return {}
try:
# Get events from last N days
cutoff_time = datetime.now() - timedelta(days=days)
cutoff_timestamp = int(cutoff_time.timestamp() * 1000)
events = self.db_ref.order_by_key().start_at(str(cutoff_timestamp)).get()
if not events:
return {}
stats = {
"total_requests": 0,
"total_tokens": 0,
"input_tokens": 0,
"output_tokens": 0,
"chat_completions": 0,
"api_errors": 0,
"model_families": {}
}
for event_key, event_data in events.items():
if event_data.get("token") == token:
payload = event_data.get("payload", {})
event_type = event_data.get("event_type")
stats["total_requests"] += 1
if event_type == "chat_completion":
stats["chat_completions"] += 1
stats["input_tokens"] += payload.get("input_tokens", 0)
stats["output_tokens"] += payload.get("output_tokens", 0)
stats["total_tokens"] += payload.get("total_tokens", 0)
model_family = payload.get("model_family", "unknown")
if model_family not in stats["model_families"]:
stats["model_families"][model_family] = 0
stats["model_families"][model_family] += 1
elif event_type == "api_request" and not payload.get("success", True):
stats["api_errors"] += 1
return stats
except Exception as e:
print(f"Failed to get user stats: {e}")
return {}
def cleanup_old_events(self, days: int = 90) -> bool:
"""Clean up events older than specified days"""
if not self.firebase_available:
return False
try:
cutoff_time = datetime.now() - timedelta(days=days)
cutoff_timestamp = int(cutoff_time.timestamp() * 1000)
# Get old events
old_events = self.db_ref.order_by_key().end_at(str(cutoff_timestamp)).get()
if old_events:
# Delete old events in batches
batch_size = 100
deleted_count = 0
for event_key in list(old_events.keys()):
self.db_ref.child(event_key).delete()
deleted_count += 1
if deleted_count % batch_size == 0:
time.sleep(0.1) # Small delay to avoid rate limits
# Cleaned up old events from Firebase
return True
return True
except Exception as e:
print(f"Failed to cleanup old events: {e}")
return False
class FirebaseStructuredLogger:
"""
Advanced Firebase-based structured logger with detailed analytics
"""
def __init__(self, firebase_path: str = "structured_events"):
self.firebase_path = firebase_path
self.lock = threading.Lock()
self.firebase_available = FIREBASE_AVAILABLE
if not self.firebase_available:
print("Warning: Firebase not available. Structured logging will be disabled.")
return
try:
# Test Firebase connection
self.db_ref = db.reference(self.firebase_path)
self.db_ref.child("test").set({"initialized": True, "timestamp": datetime.now().isoformat()})
# Firebase structured logging initialized
except Exception as e:
print(f"Warning: Firebase structured logging failed to initialize: {e}")
self.firebase_available = False
def log_chat_completion(self, user_token: str, model_family: str, model_name: str,
input_tokens: int, output_tokens: int, cost_usd: float,
response_time_ms: float, success: bool, ip_hash: str = "",
user_agent: str = "") -> bool:
"""Log a detailed chat completion event"""
if not self.firebase_available:
return False
try:
with self.lock:
event_data = {
"event_type": "chat_completion",
"timestamp": datetime.now().isoformat(),
"user_token": user_token,
"model_family": model_family,
"model_name": model_name,
"input_tokens": input_tokens,
"output_tokens": output_tokens,
"total_tokens": input_tokens + output_tokens,
"cost_usd": cost_usd,
"response_time_ms": response_time_ms,
"success": success,
"ip_hash": ip_hash,
"user_agent": user_agent
}
# Use timestamp-based key for ordering
timestamp_key = int(time.time() * 1000) # milliseconds
event_key = f"{timestamp_key}_{uuid.uuid4().hex[:8]}"
self.db_ref.child(event_key).set(event_data)
return True
except Exception as e:
print(f"Failed to log structured event to Firebase: {e}")
return False
def log_user_action(self, user_token: str, action: str, details: Dict[str, Any] = None,
admin_user: str = None) -> bool:
"""Log a user action event (admin actions, etc.)"""
if not self.firebase_available:
return False
try:
with self.lock:
event_data = {
"event_type": "user_action",
"timestamp": datetime.now().isoformat(),
"user_token": user_token,
"action": action,
"details": details or {},
"admin_user": admin_user
}
# Use timestamp-based key for ordering
timestamp_key = int(time.time() * 1000) # milliseconds
event_key = f"{timestamp_key}_{uuid.uuid4().hex[:8]}"
self.db_ref.child(event_key).set(event_data)
return True
except Exception as e:
print(f"Failed to log user action to Firebase: {e}")
return False
def get_analytics(self, days: int = 30) -> Dict[str, Any]:
"""Get comprehensive analytics from Firebase"""
if not self.firebase_available:
return {}
try:
# Get events from last N days
cutoff_time = datetime.now() - timedelta(days=days)
cutoff_timestamp = int(cutoff_time.timestamp() * 1000)
events = self.db_ref.order_by_key().start_at(str(cutoff_timestamp)).get()
if not events:
return {}
analytics = {
"total_requests": len(events),
"total_tokens": 0,
"total_cost": 0.0,
"avg_response_time": 0.0,
"success_rate": 0.0,
"model_usage": {},
"user_activity": {},
"hourly_distribution": {}
}
successful_requests = 0
total_response_time = 0
for event_key, event_data in events.items():
if event_data.get("event_type") == "chat_completion":
analytics["total_tokens"] += event_data.get("total_tokens", 0)
analytics["total_cost"] += event_data.get("cost_usd", 0)
if event_data.get("success", False):
successful_requests += 1
total_response_time += event_data.get("response_time_ms", 0)
# Model usage
model = event_data.get("model_name", "unknown")
if model not in analytics["model_usage"]:
analytics["model_usage"][model] = 0
analytics["model_usage"][model] += 1
# User activity
user = event_data.get("user_token", "anonymous")
if user not in analytics["user_activity"]:
analytics["user_activity"][user] = 0
analytics["user_activity"][user] += 1
# Hourly distribution
timestamp = event_data.get("timestamp", "")
if timestamp:
try:
dt = datetime.fromisoformat(timestamp.replace("Z", "+00:00"))
hour = dt.hour
if hour not in analytics["hourly_distribution"]:
analytics["hourly_distribution"][hour] = 0
analytics["hourly_distribution"][hour] += 1
except:
pass
# Calculate averages
if successful_requests > 0:
analytics["avg_response_time"] = total_response_time / successful_requests
analytics["success_rate"] = successful_requests / len(events)
return analytics
except Exception as e:
print(f"Failed to get analytics: {e}")
return {}
def get_user_analytics(self, user_token: str, days: int = 30) -> Dict[str, Any]:
"""Get detailed analytics for a specific user"""
if not self.firebase_available:
return {}
try:
# Get events from last N days
cutoff_time = datetime.now() - timedelta(days=days)
cutoff_timestamp = int(cutoff_time.timestamp() * 1000)
events = self.db_ref.order_by_key().start_at(str(cutoff_timestamp)).get()
if not events:
return {}
# Filter events for this user
user_events = {}
for event_key, event_data in events.items():
if event_data.get("user_token") == user_token:
user_events[event_key] = event_data
if not user_events:
return {}
analytics = {
"total_requests": len(user_events),
"total_tokens": 0,
"total_cost": 0.0,
"avg_response_time": 0.0,
"success_rate": 0.0,
"models_used": [],
"model_usage": {},
"hourly_distribution": {},
"daily_usage": {},
"input_tokens": 0,
"output_tokens": 0,
"chat_completions": 0,
"api_errors": 0
}
successful_requests = 0
total_response_time = 0
models_set = set()
for event_key, event_data in user_events.items():
if event_data.get("event_type") == "chat_completion":
analytics["chat_completions"] += 1
analytics["total_tokens"] += event_data.get("total_tokens", 0)
analytics["input_tokens"] += event_data.get("input_tokens", 0)
analytics["output_tokens"] += event_data.get("output_tokens", 0)
analytics["total_cost"] += event_data.get("cost_usd", 0)
if event_data.get("success", False):
successful_requests += 1
total_response_time += event_data.get("response_time_ms", 0)
else:
analytics["api_errors"] += 1
# Model usage
model = event_data.get("model_name", "unknown")
models_set.add(model)
if model not in analytics["model_usage"]:
analytics["model_usage"][model] = {
"requests": 0,
"tokens": 0,
"cost": 0.0
}
analytics["model_usage"][model]["requests"] += 1
analytics["model_usage"][model]["tokens"] += event_data.get("total_tokens", 0)
analytics["model_usage"][model]["cost"] += event_data.get("cost_usd", 0)
# Hourly distribution
timestamp = event_data.get("timestamp", "")
if timestamp:
try:
dt = datetime.fromisoformat(timestamp.replace("Z", "+00:00"))
hour = dt.hour
date_str = dt.strftime("%Y-%m-%d")
if hour not in analytics["hourly_distribution"]:
analytics["hourly_distribution"][hour] = 0
analytics["hourly_distribution"][hour] += 1
if date_str not in analytics["daily_usage"]:
analytics["daily_usage"][date_str] = {
"requests": 0,
"tokens": 0,
"cost": 0.0
}
analytics["daily_usage"][date_str]["requests"] += 1
analytics["daily_usage"][date_str]["tokens"] += event_data.get("total_tokens", 0)
analytics["daily_usage"][date_str]["cost"] += event_data.get("cost_usd", 0)
except:
pass
# Calculate averages and final stats
analytics["models_used"] = list(models_set)
if successful_requests > 0:
analytics["avg_response_time"] = total_response_time / successful_requests
analytics["success_rate"] = (successful_requests / len(user_events)) * 100
return analytics
except Exception as e:
print(f"Failed to get user analytics: {e}")
return {}
# Global logger instances
firebase_event_logger = FirebaseEventLogger()
firebase_structured_logger = FirebaseStructuredLogger()
# Backward compatibility - use Firebase loggers if available, otherwise create dummy loggers
if FIREBASE_AVAILABLE:
# Replace the old loggers with Firebase ones
event_logger = firebase_event_logger
structured_logger = firebase_structured_logger
else:
# Create dummy loggers that don't crash the app
class DummyLogger:
def log_event(self, *args, **kwargs): return False
def log_chat_completion(self, *args, **kwargs): return False
def log_api_request(self, *args, **kwargs): return False
def log_user_action(self, *args, **kwargs): return False
def get_user_stats(self, *args, **kwargs): return {}
def get_user_analytics(self, *args, **kwargs): return {}
def cleanup_old_events(self, *args, **kwargs): return False
def get_analytics(self, *args, **kwargs): return {}
event_logger = DummyLogger()
structured_logger = DummyLogger() |